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The Creation of a Rat Model for Osteosarcopenia via Ovariectomy
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Sarcopenia and Physical Function in Obstructive Sleep Apnea: A Single-Centre Cross-Sectional Study (The SOSA Study).

Ahmad J Abdulsalam1, Renu Ambardar1, Mohammad Abdulsalam2

  • 1Department of Physical Medicine and Rehabilitation, Mubarak Al Kabeer Hospital, Jabriya, Kuwait.

The Clinical Respiratory Journal
|June 6, 2026
PubMed
Summary

Obstructive sleep apnea (OSA) severity does not independently predict sarcopenia in older adults; age and BMI are the primary drivers. Physical function, not muscle mass, may be more sensitive to OSA-related changes.

Keywords:
algorithmsbody compositionmuscleobstructivequadriceps musclesarcopeniaskeletalsleep apneaultrasonography

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Published on: December 6, 2016

Area of Science:

  • Gerontology
  • Sleep Medicine
  • Musculoskeletal Health

Background:

  • Obstructive sleep apnea (OSA) is common in older adults and may be associated with sarcopenia.
  • Previous studies have not definitively established if OSA severity independently predicts sarcopenia, beyond age, obesity, and sex.
  • This study investigates sarcopenia in a Kuwaiti cohort with varying OSA severity.

Purpose of the Study:

  • To determine if obstructive sleep apnea (OSA) severity is an independent predictor of sarcopenia.
  • To assess sarcopenia prevalence and its components across different OSA severity strata.
  • To identify determinants of sarcopenia in an older Kuwaiti population with OSA.

Main Methods:

  • Cross-sectional analysis of 110 adults (≥50 years) with confirmed OSA.
  • Stratification into mild, moderate, and severe OSA based on apnea-hypopnea index (AHI).
  • Sarcopenia assessment using the ISarcoPRM algorithm: ultrasound muscle thickness, STAR, handgrip strength, and chair stand test (CST).

Main Results:

  • Sarcopenia prevalence increased with OSA severity (mild: 21.4%, moderate: 30.8%, severe: 34.9%), but this trend was not statistically significant.
  • Age and BMI were independent predictors of sarcopenia; OSA severity was not.
  • A modest correlation was found between OSA severity indices (AHI, ODI) and CST time, suggesting an impact on physical function.

Conclusions:

  • In this Kuwaiti cohort, age and BMI are the main factors associated with sarcopenia, not OSA severity.
  • Physical function (CST time) may be more affected by OSA than muscle mass itself.
  • The high prevalence of low STAR necessitates population-specific normative data for high-obesity cohorts.